| Issue |
E3S Web Conf.
Volume 111, 2019
CLIMA 2019 Congress
|
|
|---|---|---|
| Article Number | 05002 | |
| Number of page(s) | 4 | |
| Section | Information and Communication Technologies (ICT) for the Intelligent Building Management | |
| DOI | https://doi.org/10.1051/e3sconf/201911105002 | |
| Published online | 13 August 2019 | |
An algorithmic module toolkit to support quality management for building performance
1 Institute for Building Services and Energy Design, TU Braunschweig, Mühlenpfordtstraße 23, 38106, Braunschweig, Germany
2 siz energie+, Mühlenpfordtstraße 23, 38106 Braunschweig, Germany
3 synavision GmbH, Welle 15, 33602 Bielefeld, Germany
4 Chair of Software Engineering, RWTH Aachen University, Ahornstraße 55, 52074 Aachen, Germany
* Corresponding author: mehnert@igs.tu-bs.de
Data from building automation systems is so far used for the operation of building systems and components only. The following work shows how this data can be used to enhance the building’s performance by strategically detecting potential sources for building optimization. With this method, faults and optimization potentials of the building operation can be detected; thus, the quality gap regarding efficiency and comfort aspects between design and operation can then be reduced. Furthermore, the intelligent use of data enables the realization of economic savings to support facility management with regards to increasingly complex HVAC systems. Effective quality management – rapid, transparent and cost effective – is carried out with the aid of digital methods, which are already state of the art in other industries.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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